openstreetmap-carto
ClickHouse
openstreetmap-carto | ClickHouse | |
---|---|---|
34 | 208 | |
1,487 | 34,153 | |
- | 1.3% | |
6.2 | 10.0 | |
4 days ago | 7 days ago | |
CartoCSS | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openstreetmap-carto
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The current state of map design in OpenStreetMap
I wouldn't compare osm-website and osm-carto at all. The commit logs are very different.
openstreetmap-website: https://github.com/openstreetmap/openstreetmap-website/commi... . Numerous commits most days.
openstreetmap-carto: https://github.com/gravitystorm/openstreetmap-carto/commits . So far in 2024; one small regression fixed, one niche bit of tagging added to an existing style, some largely pointless code style tidying. That's it.
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Pittsburgh busways
There are even two separate PRs to fix it that are pretty much ready to merge https://github.com/gravitystorm/openstreetmap-carto/pull/4456 https://github.com/gravitystorm/openstreetmap-carto/pull/4714
- Btreefs generates executable code at runtime to unpack btree nodes
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Tell us about how you communicate within OSM
Looks like sense prevailed the following year. https://github.com/gravitystorm/openstreetmap-carto/issues/1654
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Tagging a named natural basin or cirque
Of course, natural=valley itself is widely used. I got curious why it isn't rendered on OSM Carto but place=locality is and stumbled on some interesting discussions on the issue tracker (1 and 2). The takeaway seems to be to avoid place=locality in favour of more specific tags.
- Fairmount Park Philadelphia landcover improvement
- certain map data wont show in export
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Is it possible to send area to the backward.
It is strange to me that the pedestrian area gets rendered above the building... would you like to create a topic about this at community.openstreetmap.org ? I think this should be handled differently. I guess the next instance then would be to open an issue at https://github.com/gravitystorm/openstreetmap-carto (probably but I'm not 100% sure) or maybe here https://github.com/openstreetmap/operations
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Why does coasters still not get rendered in OSM? Race tracks, water slides etc. get also rendered, so why not coasters as well.
I think the best bet then is to see if there's anything to contribute to the conversation at https://github.com/gravitystorm/openstreetmap-carto/issues/3596 or whether a PR would be welcome.
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OpenGeoFiction: The ultimate imaginary map
Yes, it is the same style! In addition to info from /u/epicbirble, the style is called carto. It looks like Floodmap is using the OpenStreetMap standard layer, rendered using carto style, as its basemap.
ClickHouse
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We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864
Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...
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Build time is a collective responsibility
In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.
When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121
Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.
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Fair Benchmarking Considered Difficult (2018) [pdf]
I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench
It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.
I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398
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How to choose the right type of database
ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.
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Writing UDF for Clickhouse using Golang
Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):
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The 2024 Web Hosting Report
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
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Proton, a fast and lightweight alternative to Apache Flink
Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.
Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870
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1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
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We Executed a Critical Supply Chain Attack on PyTorch
But I continue to find garbage in some of our CI scripts.
Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files
The right way is to:
- always pin versions of all packages;
What are some alternatives?
osm-bright - A Carto template for OpenStreetMap data
loki - Like Prometheus, but for logs.
maplibre-native - MapLibre Native - Interactive vector tile maps for iOS, Android and other platforms.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
martin - Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
osm-bright-gl-style - OSM Bright GL Style using OpenMapTiles
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
pg_tileserv - A very thin PostGIS-only tile server in Go. Takes in HTTP tile requests, executes SQL, returns MVT tiles.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
kosmtik - Make maps with OpenStreetMap and Mapnik
datafusion - Apache DataFusion SQL Query Engine